Distributed logs across multiple systems extend failure investigation time

When data pipeline components are distributed across multiple platforms (AWS Lambda, S3, dbt, Docker containers, etc.), their logs and alerts are also distributed, requiring engineers to tail logs across half a dozen or more independent systems to pinpoint the root cause of failures

Ship logs and metrics from all pipeline components to a single centralized location. Use a unique UUID or similar identifier to tag each pipeline run so it can be traced across all architectural components. Work with upstream producers and downstream consumers to integrate this tagging system in their components. This enables viewing the entire end-to-end pipeline status from a single dashboard